2 papers
cs.LG2025
Towards a deeper GCN: Alleviate over-smoothing with iterative training and fine-tuning
Furong Peng, Jinzhen Gao, Xuan Lu +3
Graph Convolutional Networks (GCNs) suffer from severe performance degradation in deep architectures due to over-smoothing. While existing studies primarily attribute the over-smoo…
cs.LG2024
TSC: A Simple Two-Sided Constraint against Over-Smoothing
Furong Peng, Kang Liu, Xuan Lu +3
Graph Convolutional Neural Network (GCN), a widely adopted method for analyzing relational data, enhances node discriminability through the aggregation of neighboring information.…